Statistical disclosure control in tabular data

Castro Pérez, Jordi

doi:10.1007/978-1-84996-238-4

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Chapter 6 of Privacy and Anonymity in Information Management Systems: New Techniques for New Practical Problem, Springer (134,8Kb)

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Castro Pérez, Jordi

Document typePart of book or chapter of book

Date issued2010-09

PublisherSpringer Verlag

Rights accessOpen Access

Abstract

Data disseminated by National Statistical Agencies (NSAs) can be classified as either microdata or tabular data. Tabular data is obtained from microdata by crossing one or more categorical variables. Although cell tables provide aggregated information, they also need to be protected. This chapter is a short introduction to tabular data protection. It contains three main sections. The first one shows the different types of tables that can be obtained, and how they are modeled. The second describes the practical rules for detection of sensitive cells that are used by NSAs. Finally, an overview of protection methods is provided, with a particular focus on two of them: “cell suppression problem” and “controlled tabular adjustment”.

CitationCastro, J. Statistical disclosure control in tabular data. A: "Privacy and anonymity in information management systems: new techniques for new practical problems". Springer Verlag, 2010, p. 113-131.

URIhttp://hdl.handle.net/2117/9753

DOI10.1007/978-1-84996-238-4

ISBN978-1849962377

Publisher versionhttp://www.springerlink.com/content/978-1-84996-237-7/#section=738796&page=1&locus=0

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